code: def test_inverse_transform():
      oht = TransactionEncoder()
      oht.fit(dataset)
      np.testing.assert_array_equal(
          np.array(data_sorted), np.array(oht.inverse_transform(expect))
      )
  
file_path: mlxtend/mlxtend/preprocessing/tests/test_transactionencoder.py
imports: import numpy
  from scipy.sparse import csr_matrix
  from sklearn.base import clone
  from mlxtend.preprocessing import TransactionEncoder
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 5 for calling a global function with example usage: test_inverse_transform() without return types